III.1. Model Selection - Yuedong Wang
III.2. Bootstrap and Resampling - Enno Mammen, Swagata Nandi
III.3. Simulation Techniques - Jack Kleijnen
III.4. Multivariate Density Estimation and Visualization - David Scott
III.5. Smoothing: Local Regression Techniques - Catherine Loader
III.6.Dimension Reduction Methods - Masahiro Mizuta
III.7. Generalized Linear Models - Marlene Müller
III.8. (Non) linear Regression Modelling - Pavel Cizek
III.9. Robustness Statistics - Ursula Gather, P. Laurie Davies
III.10. Semiparametric Models - Joel Horowitz
III.11. Bayesian Computational Methods - Christian Robert
III.12. Computational Methods in Survival Analysis - Toshinari Kamakura
III.13. Data and Knowledge Mining - Adalbert Wilhelm
III.14. Recursive Partitioning and Tree-based Methods -Heping Zhang
III.15. Support Vector Machines - David Tax, Christin Schäfer, Pavel Laskov, Sebastian Mika, Klaus-Robert Müller
III.16. Bagging, Boosting and Ensemble Methods - Peter Bühlmann